Mechanized Grape Harvest Efficiency

Abstract

Due to the low number of employees and the time limit in the field of grape harvesting, we focused in the presented article on evaluating the effectiveness of the deployment of an outboard grape harvester within the conditions of Slovak viticulture. The vineyards are in the Nitra wine-growing region on the southwestern slopes behind the Pivnica Radošina company, Piešťany district, in a total area of 33 ha. The object of the research was a PELLENC 8090 Selective Process trailed grape harvester aggregated with a SAME Frutteto3 100 tractor. The mechanized harvesting was tested in the vineyards of Pivnica Radošina s. r. on three selected varieties (Pinot Gris, Pinot Blanc, and Tramin Red) for two years. Entry conditions, technical parameters of the equipment, and weather conditions were monitored for all varieties. Data were analyzed with STATISTICA statistical software. As part of the research, post-harvest losses due to mechanized harvesting were monitored. The average losses for all examined varieties reached the value of 2.17% in 2018, and the value of 2.25% in 2017. A significant output was the efficiency of the deployment of the set for mechanized grape harvesting, where in 2018 a minimum value of 146.3 ha was set (the average cost of grapes was 500 Euro·t−1). A significant part of the cost was fixed items, as a two-year tractor and a trailed collector (for 2017) were used for mechanized harvesting. The difference compared to previous research was the deployment of a completely new set during a two-year period on varieties that have not yet been evaluated. The economic efficiency over two years was elaborated in detail, which highlighted the benefits of multi-annual use. In terms of examining losses, differences were shown not only between varieties, but also between years, and these data were statistically verified. The paper evaluates the dependence of the use of mechanized harvesting on changes in the purchase price of grapes (increasing it also exponentially increases the required area) and on changing the hourly wage of an employee (increasing it degressively reduces the required area). From the results it can be said that statistically and economically significant outputs were achieved for the deployment of machine collection.